\begin{tabular}{lcc} \hline
 & (1) & (2) \\
VARIABLES & Kakwani (Germany) & Kakwani (Austria) \\ \hline
 &  &  \\
Treatment condition = 1, Earn more & 0.005 & 0.003 \\
 & (0.009) & (0.010) \\
Treatment condition = 2, Earn less & 0.021*** & 0.011 \\
 & (0.008) & (0.010) \\
Treatment condition = 3, Ineq. 99/50 & 0.018** & 0.016* \\
 & (0.009) & (0.009) \\
Treatment condition = 4, Ineq. 99/10 & 0.010 & 0.014 \\
 & (0.009) & (0.009) \\
Female & -0.010* & 0.000 \\
 & (0.005) & (0.006) \\
Age & 0.000** & 0.001*** \\
 & (0.000) & (0.000) \\
Education & 0.026*** & 0.007 \\
 & (0.006) & (0.005) \\
Married & 0.000 & 0.012* \\
 & (0.006) & (0.007) \\
Has children & -0.008 & -0.009 \\
 & (0.005) & (0.007) \\
Not employed & 0.001 & -0.006 \\
 & (0.007) & (0.007) \\
Monthly income & 0.002** & 0.002** \\
 & (0.001) & (0.001) \\
5 quantiles of timeSpent = 2 & 0.057*** & 0.043*** \\
 & (0.009) & (0.011) \\
5 quantiles of timeSpent = 3 & 0.052*** & 0.041*** \\
 & (0.009) & (0.011) \\
5 quantiles of timeSpent = 4 & 0.073*** & 0.065*** \\
 & (0.009) & (0.010) \\
5 quantiles of timeSpent = 5 & 0.058*** & 0.071*** \\
 & (0.010) & (0.010) \\
 &  &  \\
Observations & 2,100 & 2,100 \\
 R-squared & 0.088 & 0.086 \\ \hline
\multicolumn{3}{c}{ Robust standard errors in parentheses} \\
\multicolumn{3}{c}{ *** p$<$0.01, ** p$<$0.05, * p$<$0.1} \\
\end{tabular}
